Abstract: An example device manager gateway includes one or more memories; and one or more processors, communicatively couple to the one or more memories, to identify a plurality of short range wireless communication devices; cause a plurality of short range wireless communication sessions to be established, the plurality of short range wireless communication sessions being established with the plurality of short range wireless communication devices; determine services associated with the plurality of short range wireless communication devices; identify an association between two or more of the short range wireless communication devices of the plurality of short range wireless communication devices; aggregate data associated with the services based on the association between two or more short range wireless communication devices of the plurality of short range wireless communication devices; and/or perform an action associated with the aggregated data and the two or more short range wireless communication devices.

Abstract: In some examples, incident prediction and prevention may include ascertaining a plurality of past incidents, clustering the plurality of past incidents to generate a plurality of incidents clusters, and identifying, for each past incident of the plurality of past incidents that is in a respective incidents cluster of the plurality of incidents clusters, a time of occurrence. Incident prediction and prevention may include ascertaining a new incident, assigning the new incident to an incidents cluster of the plurality of incidents clusters, and determining, for the assigned incidents cluster, at least one further predicted incident associated with at least one further corresponding incidents cluster. Further, incident prediction and prevention may include determining a resolution to the at least one further predicted incident, and preventing occurrence of the at least one further predicted incident by executing the determined resolution to the at least one further predicted incident.

Abstract: A device may include one or more processors. The device may obtain a first code set and a second code set. The first code set may have at least one difference from the second code set. The at least one difference may relate to addition, removal, or modification of code of the first code set in comparison to code of the second code set. The device may identify one or more first portions of the first code set and one or more second portions of the second code set. The device may concurrently compare the one or more first portions and the one or more corresponding second portions to identify the at least one difference. The device may generate comparison information identifying the at least one difference. The device may store or provide the comparison information.

Abstract: A real-time data management system for accessing data in a power grid that controls a transmission delay of real-time data delivered via a real-time bus, and delivers real-time data in a power grid. A unified data model covering various organizations and various data resource may be included. Multi-bus collaboration and bus performance optimization approaches may be used to improve efficiency and performance of the buses. An event integration and complex event process component may be included to provide status of the power grid. A high volume of real-time data and events may be managed to provide data transmission with a low latency, provide flexible extension of the number of data clusters and the number of databases to ensure high volume data storage, and achieve a high speed and transparent data access. Additionally, rapid design and development of analytical applications, and the near real-time enterprise decision-making may be enabled.

Abstract: A system for processing application programming interface (API) calls and event messages may include a gateway subsystem and an events hub. The gateway subsystem can route API calls submitted by user agents connected to the gateway subsystem to appropriate service subsystems. The events hub can receive event messages from at least some of the service subsystems and publish the received event messages for consumption by one or more consuming subsystems including the gateway subsystem. A first published event message may specify a first user and the the gateway subsystem can (i) determine every user agent that is associated with the first user and that is currently connected to the gateway subsystem and (ii) transmit information that represents the first published event message to every user agent that is determined to be associated with the first user and currently connected to the gateway subsystem.

Abstract: According to an example, data acceleration may include receiving indications of levels of capabilities respectively needed for data movement, data processing, and data interactivity, and/or operational parameters associated with the data movement, the data processing, and the data interactivity. Data acceleration may further include determining, based on an analysis of the received indications and/or the operational parameters, specifications for the data movement to include streaming and/or batch, the data processing to include a big data platform, complex event processing, and/or an appliance, and the data interactivity to include an in-memory database (IMDB) and/or a distributed cache.

Abstract: Three-dimensional virtualization may include receiving captured images of an entity and/or a scene, and/or capturing the images of the entity and/or the scene. The images may be connected in a predetermined sequence to generate a virtual environment. A virtual reality application may be generated to implement controls for manipulation of the virtual environment. Gestures related to a view generated by the virtual reality application may be received. The gestures may be translated to manipulate the view generated by the virtual reality application.

Abstract: A device may configured to receive a request to provide optimized investment information. The optimized investment information may indicate optimized investments for types of marketing. The device may receive constraint information indicating bounds for the optimized investments. The device may receive sales goal information indicating a sales goal to be achieved by the optimized investments. The device may determine the sales goal is not achievable based on the bounds. The device may broaden the bounds for the optimized investments based on the sales goal not being achievable such that the optimized investments may deviate from the bounds. The device may determine the optimized investments based on a deviation of the optimized investments from the bounds and a total investment cost of the optimized investments to achieve the sales goal. The device may provide the optimized investment information, indicating the optimized investments, to another device based on the request.

Abstract: In some examples, personnel movement simulation and control may include ascertaining, for a mixed reality simulator, attributes of a mixed reality simulation to be performed. The attributes may include an environment to be simulated, a personnel to be simulated, a holographic object to be included in the environment, and a goal of the mixed reality simulation. Personnel movement simulation and control may further include performing, based on the attributes, the mixed reality simulation. Further, personnel movement simulation and control may include determining, based on an analysis of the performed mixed reality simulation, an optimal path in the environment to meet the goal of the mixed reality simulation.

Abstract: An automatic environment provisioning system receives a user request for auto provisioning of a development environment and automatically creates an environment per the user's request on a cloud platform. The user's request includes a selection of a technology platform on which to create the environment in addition to other system requirements. The user's input for generating the environment including the selection of a technology platform is employed for generating a template. The template can reference individual identifiers of various images corresponding to the software resources associated with the user's selected technology platform. The template enables instantiating the images with identifiers associated with the user-selected technology platform in order to enable creating the auto-provisioned environment. One or more users can be provided access to the auto-provisioned environment to of develop, test and/or implement the solution.

Abstract: In some examples, artificial intelligence based service control and home monitoring may include ascertaining, from a monitoring tool, an alert related to operation of a device or service monitored by the monitoring tool, and generating, based on the alert, a support call that includes a phone call, an e-mail, a Short Message Service (SMS), and/or smart device notification to a support personnel. Based on an issue addressed in the alert, an incident ticket may be generated, and based on a response to the support call, and determination of a resolution to the issue addressed in the alert, the incident ticket may be modified to include the resolution. Further, a service level agreement may be analyzed, and based on an analysis of the alert, the support call, the incident ticket, and the service level agreement, metrics related to the resolution to the issue addressed in the alert may be generated.

Abstract: In some examples, augmented reality and mobile technology based services procurement and distribution may include ascertaining an attribute and a location associated with a user. Augmented reality and mobile technology based services procurement and distribution may include generating, based on the ascertained attribute and location, a plurality of offers for services on a map display or an augmented reality display, and generating, based on selection of an offer, a display of the selected offer that includes a QR code, a barcode, and/or a Near Field Communication code. Augmented reality and mobile technology based services procurement and distribution may include analyzing, based on redeeming of the selected offer, the attribute associated with user relative to attributes of other users, and modifying the generation, based on the analysis of the attribute associated with user relative to attributes of other users and the location, of the plurality of offers for the services.

Abstract: In some examples, virtual reality based hotel services analysis and procurement may include ascertaining an attribute associated with a user, and ascertaining a preference associated with the user. Virtual reality based hotel services analysis and procurement may include generating, based on the ascertained attribute and preference, and based on a virtual reality device, a virtual reality view of a hotel service of a plurality of hotel services offered by a hotel services provider, and analyzing a gaze of the user with respect to a feature of the virtual reality view of the hotel service being viewed by the user. Virtual reality based hotel services analysis and procurement may further include modifying the virtual reality view of the hotel service being viewed by the user, and controlling procurement of the hotel service by the user.

Abstract: Service extraction and application composition may include preprocessing and instrumenting an existing application that is to be converted to a service-oriented application. The existing application may be executed to generate traces related to a runtime behavior of services related to the existing application. The traces may be used to generate calling code related to the services related to the existing application. Representational state transfer (REST) application programming interfaces (APIs) that include the calling code to call the services related to the existing application may be generated. Refactored code for the existing application may be generated for invocation of the services related to the existing application by the REST APIs.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A network proxy controls and normalizes the tagging data applicable across the multiple cloud service providers. The network proxy provides a central control mechanism for discovering, monitoring, and updating complex tagging data applied to the technical components provisioned with the cloud service providers. The network proxy also dynamically generates technical component request interfaces that include specifically prioritized metadata tags.

Abstract: A telemetry master (TM) system provides automatic monitoring and maintenance of equipment by automatically generating predictive actions of a certain confidence threshold to backend systems which maintain a full duplex communication channel with the TM system. Data entries including context information that are generated by applications corresponding to the backend systems during the functioning of the backend systems are collected, analyzed and actionable items such as alerts, alarms of particular messages cause the telemetry master system to generate a predictive action of a minimum confidence threshold using a pre-trained first data model. A second data model is employed to identify particular equipment from the backend systems that is to implement the action. Results from implementing the action are collected and again used to train the data models. Certain applications can include intelligent agents which enable automatic execution of the actions.

Abstract: In some examples, immersive and artificial intelligence based retail may include ascertaining attributes associated with a user, identifying a device to display an augmented reality display, a virtual reality display, and/or a mixed reality display, and generating, based on the ascertained attributes and for display on the identified device, a virtual store including a plurality of clothing articles. A clothing article may be selected from the plurality of clothing articles, and based on the selection of the clothing article, a design, a color combination, a texture, and/or a print pattern may be generated based on the clothing article. Further, immersive and artificial intelligence based retail may include generating a display of a plurality of three-dimensional hologram images of the user wearing the clothing article, and determining personalized clothing articles for the user based on selection of a clothing article from the displayed plurality of three-dimensional hologram images.

Abstract: A device may receive a test scenario that includes actions to be performed by test equipment. The test scenario may be associated with a test suite. The device may receive availability information indicating a quantity, a type, or a status of the test equipment or a resource of the test equipment for performing the actions. The device may determine an order in which the actions are to be performed. The device may generate scheduling information for the actions based on the order and the availability information. The device may schedule the actions for execution by the test equipment. The device may transmit information that causes the actions to be performed by the test equipment based on the scheduling information.

Abstract: A system is described for determining a relative location of a plurality of items upon a plurality of platforms. The system may include a memory, an interface, and a processor. The memory may store a first item, a second item, a first period of time and a second period of time. The interface may be operative to communicate with a user and an antenna. The antenna may be able to detect an item for a period of time. The processor may be operative to receive from the antenna, via the interface, the first item, the first period of time, the second item and the second period of time. The processor may determine whether the periods of time overlap. If the periods of time overlap the processor may communicate to the user that the items are upon the same platform, otherwise that the items are on consecutive platforms.

Abstract: A solution generation and planning system uses Artificial Intelligence (AI) techniques such as machine learning (ML) data models, predictive analytics and natural language processing (NLP) techniques for generating outputs to aid decision making in the domain of public infrastructure development. The problem statement is analyzed using the NLP techniques to generate word tokens which are employed in identifying issues that aid in selection of appropriate data sources from a plurality of discrete data sources. In addition, data models trained to produce probable solutions for the issue are also selected. The probable solutions are presented to the user who selects one of the probable solutions for implementation. Feedback from the implementation is also incorporated so that the data models are updated per the latest information obtained from the implementation of the user-selected solution.